Identification of linear mechanical systems by deconvolution techniques

Mechanical Systems and Signal Processing

Volumn 11, Issue 3, 1997, Pages 351-373

  Fasana, A ^a   Piombo, B A D ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; INTEGRAL EQUATIONS; LINEAR CONTROL SYSTEMS; MECHANISMS; NUMERICAL METHODS; TIME DOMAIN ANALYSIS; TIME VARYING CONTROL SYSTEMS;

DECONVOLUTION TECHNIQUES; IMPULSE RESPONSE FUNCTION; LINEAR EQUATIONS; LINEAR MECHANICAL SYSTEMS; MULTIPLE INPUT MULTIPLE OUTPUT SYSTEMS; SINGLE INPUT MULTIPLE OUTPUT SYSTEMS; SINGLE INPUT SINGLE OUTPUT SYSTEMS; TIME INVARIANT DYNAMIC SYSTEM;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 0031143096     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1006/mssp.1996.0081     Document Type: Article

References (14)

1. LMS 1991 Digital Signal Processing Seminar, Milano, Italy, 5-6 November.
2. S. L. MARPLE JR. 1987 Digital Spectral Analysis With Applications. Englewood Cliffs, NJ: Prentice Hall.
3. L. M. DELVES and J. WALSH 1974 Numerical Solution Of Integral Equations. Oxford: Clarendon Press.
4. P. DEUFLHARD and E. HAIRER 1983 Proceedings of an International Workshop, Heidelberg, Germany. Numerical treatment of inverse problems in differential and integral equations.
5. D. L. PHILLIPS 1962 Journal of the Association for Computing Machinery 9, 84-95. A technique for the numerical solution of certain integral equations of the first kind.
6. S. TWOMEY 1963 Journal of the Association for Computing Machinery, 97-101. On the numerical solution of Fredholm integral equations of the first kind by the inversion of the linear system produced by quadrature.
7. P. LINZ 1985 Analytical And Numerical Methods For Volterra Equations. Philadelphia: SIAM Studies In Applied Mathematics.
8. R. B. HUNT 1972 IEEE Transactions on Audio and Electroacoustics March, 94-95. A theorem on the difficulty of numerical deconvolution.
9. M. P. EKSTROM 1973 IEEE Transactions on Audio and Electroacoustics AU-21, 344-348. A spectral characterization of the ill-conditioning in numerical deconvolution.
10. C. ABACI scientific desk. Numerical FORTRAN routines.
11. C. W. GROETSCH 1984 The Theory Of Thikonov Regularization For Fredholm Equations Of The First Kind. London: Pitman Publishing.
12. D. COMMENGES 1984 IEEE Transactions on Automatic Control AC-29, 229-243. The deconvolution problem: fast algorithms including the preconditioned conjugate-gradient to compute a MAP estimator.
13. H. C. ANDREWS and B. R. HUNT 1977 Digital Image Restoration. Englewood Cliffs, NJ: Prentice-Hall.
14. W. H. PRESS, B. P. FLANNERY, S. A. TEUKOLSKY and W. T. VETTERLING 1989 Numerical Recipes: The Art Of Scientific Computing. Cambridge: Cambridge University Press.